UAlacant: Using Online Machine Translation for Cross-Lingual Textual Entailment

This paper describes a new method for cross-lingual textual entailment (CLTE) detection based on machine translation (MT). We use sub-segment translations from different MT systems available online as a source of cross-lingual knowledge. In this work we describe and evaluate different features derived from these sub-segment translations, which are used by a support vector machine classifier to detect CLTEs. We presented this system to the SemEval 2012 task 8 obtaining an accuracy up to 59.8% on the English-Spanish test set, the second best performing approach in the contest.

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